The AI security firm, Snyk, has launched its new AI Security Fabric, which is a security architecture that aims to provide continuous defense throughout the software development lifecycle (SDLC) to enable the secure development of AI-driven software at the speed of AI. With the growing use of AI in writing code, powering applications, and fueling innovation, the conventional episodic security paradigm is no longer sufficient for the pace and scale of AI-driven development, where vulnerabilities are being introduced at a faster rate, time to exploit is decreasing, and unmanaged AI models and autonomous agents are increasing the attack surface. Built on the Snyk AI Security Platform, the AI Security Fabric unifies visibility, prevention, and governance across three vectors AI-Accelerated DevSecOps, AI-Driven Development, and AI-Native Software ensuring that security is “secure at inception” rather than reactive, and closing the gap between rapid code creation and risk management. New data from Snyk’s State of Agentic AI Adoption Report shows that for every deployed AI model, enterprises typically introduce nearly three times as many hidden components such as datasets and third-party tools, creating a vast unmonitored software supply chain that legacy security tools cannot govern. A Forrester Total Economic Impact™ study cited by Snyk revealed organizations using the AI Security Platform achieved a 288% return on investment, with up to 60% faster remediation times and reduced security debt, enabling payback of investment in under six months.
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“Our customers need to build fearlessly in the AI era, but when creation accelerates beyond human speed, risk becomes unmanageable,” said Peter McKay, CEO of Snyk. “Companies don’t just need application security they need an AI Security Fabric. Snyk is the only company delivering the capabilities, the guidance, and the visionary innovation to weave that Fabric, ensuring that trust is architected into software from the first prompt to production.” Snyk continues to extend the AI Security Fabric with new capabilities that embed security into IDEs, integrate guardrails into AI coding assistants such as Gemini CLI and Claude Code, improve remediation workflows, and provide visibility into Shadow AI environments and agentic execution. “As AI-driven development accelerates, human oversight alone simply cannot keep pace,” said Gabriel Brolo Tobar, Senior Security Engineer, Yalo. “We view Snyk’s autonomous defense as a vital partner to our engineering team a first line of defense that enables us to take control of issues right away. This partnership is indispensable, ensuring we can adopt AI-native architectures without losing control of our security posture.”
